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Yi Pan

Yi Pan has 2 papers in our library, in 2024, most of them on Evaluation & benchmarks, Reasoning; often with Peng Shu, Zhengliang Liu, Zihao Wu.

2 papers in our library · 2024

OpenAlex · ORCID · h-index 14 · 35 works · 553 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 64 times in our library · ⭐ Paper Stars ranking: #6478

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🔬National Institute of Measurement and Testing TechnologyChengdu · China2009–2026 · 13 paperscurrent🎓Sichuan UniversityChengdu · China2002–2021 · 8 papers🎓University of South ChinaHengyang · China2013–2021 · 4 papers🎓Liaoning Shihua UniversityFushun · China2025 · 2 papers🎓Hangzhou Medical CollegeHangzhou · China2023 · 2 papers🏥Zhejiang Provincial People's HospitalHangzhou · China2023 · 2 papers🏢Merck & Co., Inc., Rahway, NJ, USARahway · United States2014 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksDecision Sciences · 1 workManagement Science and Operations Research · 1 work

🧭 Topics 2Research subjects and languages the work is about.Evaluation & benchmarks · 1 workReasoning · 1 work

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Evaluation of OpenAI o1: Opportunities and Challenges of AGI (2024 · 64 citations)
    The paper examines how close OpenAI's o1-preview comes to general-purpose intelligence. o1-preview is a model trained with reinforcement learning to work through chain-of-thought reasoning before it answers. A large multi-institution team tested it on 27 task categories, mostly built from public datasets. These span…
  2. Revolutionizing Finance with LLMs: An Overview of Applications and Insights (2024 · 63 citations)
    This survey examines how large language models can be applied to finance, a field where data is highly specialized and errors are costly.

 Co-authors here

9 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 64 times (of the 149,439 papers whose bibliographies we read); 13 citing papers with a page here →.

Updated

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